Evaluation of Overflow Clarity by Numerical Modeling of the Settling Zone in Gravity Classifiers

- Organization:
- Canadian Institute of Mining, Metallurgy and Petroleum
- Pages:
- 8
- File Size:
- 1000 KB
- Publication Date:
- Jan 1, 2016
Abstract
"The objective of this work is to study the various parameters that affect the overflow clarity of gravity settlers used in the precipitation circuit of alumina hydrate from the Bayer process. A mathematical model incorporating the size distribution of the feed suspension (Multi Size Group model), its diphasic nature (Schiller Naumann model) and the presence of turbulence (Shear Stress Transport model) has been solved numerically using ANSYS-CFX software. Preliminary results indicate that the overflow clarity is mainly controlled by lateral diffusion of fine particles (~20µm) from the exit of the feed well and by their upward transport from the sediment bed interface. Also the turbulence pattern in the settling zone seems to play a significant role in this vertical transportation. The validity of the model has been verified by comparing the measured solid concentrations from a pilot classifier with the calculated ones. This model could provide mineral processing plant operators and designers with a tool to optimize the configuration of classifiers with respect to the overflow clarity.INTRODUCTIONProblemIn the Bayer process, alumina hydrate precipitation from the saturated liquor is initiated in settler by adding crystallization seeds. Most of the precipitated alumina settles to the bottom of the tank while the liquor and the remaining alumina rise to the top, where they are removed at the overflow. Ideally the overflow clarity, which depends on the operational mode of the classifier, should be controlled within targeted limits."
Citation
APA:
(2016) Evaluation of Overflow Clarity by Numerical Modeling of the Settling Zone in Gravity ClassifiersMLA: Evaluation of Overflow Clarity by Numerical Modeling of the Settling Zone in Gravity Classifiers. Canadian Institute of Mining, Metallurgy and Petroleum, 2016.